For discrete distribution, the co-efficient of kurtosis β₂ is –

The coefficient of kurtosis β₂ is defined as the ratio of the fourth central moment to the square of the variance. A key theoretical property for any probability distribution is that β₂ ≥ 1. Although equality can occur in specific cases, the general behavior for discrete distributions aligns with values greater than 1. Consequently, this option correctly identifies the lower bound constraint of kurtosis.